Over the past few years, there has been growing concern about the lack of innovation among corporations. This lack of innovation is a major problem for businesses, as it can lead to stagnation, decreased competitiveness, and even obsolescence. As the pace of technological change continues to accelerate, it's becoming increasingly important for companies to find ways to foster innovation and stay ahead of the curve.

Running a Shopify ecommerce store can be challenging - you have to take care of marketing, supplies, deliveries, returns, complaints, and every little thing in between, so you easily lose focus on what matters and brings value. Luckily, we have an easy solution! Keboola and Snowflake have partnered to bring you a no-code solution that turns your Shopify data into an insights machine in just 45 minutes. Let's take a look and try it hands-on! You might say.

The data we generate, store, and share is growing exponentially as the world inexorably digitizes. With the global data sphere expected to double in size by 2026 as organizations and consumers increasingly go online, automate, and digitize processes, the right tools are required to mine this massive trove of valuable data coming from a widening and diverse pool of sources globally. The competitive edge gained by rapidly converting complex data into business insights is a crucial growth driver.

The data catalog is a critical step in the movement toward becoming a data-driven business. Here are 4 table-stakes questions to ask yourself to deliver reliable, trusted data.

When was the last time you had all the data you needed to make a business decision? Hopefully, it was today. But if it wasn’t, you’re not alone. It’s increasingly difficult for people inside enterprise organizations to harness the power of their data. Even though good decisions are nearly impossible without good data, getting data into the right hands at the right time is easier said than done.

Recently I read a very informative article by Stephen Catanzano in Tech Target (Avoid data sprawl with a single source of truth). To be honest, this is an age-old challenge, and it's getting worse. IDC states that by 2025 the global datasphere will grow to 175 Zeta bytes and that 90% of the data in the world is a replica. Why does this matter? As Stephen points out in his article, a single source of truth is a fundamental concept in data management.